An extended version of Necessary Condition Analysis (NCA) allows more specific conclusions: an example involving well-being and resilience

BMC Psychiatry

Bo Melin¹  Kimmo Sorjonen¹ 

[1] Division of Psychology, Department of Clinical Neuroscience, Karolinska Institutet, 171 77, Stockholm, Sweden;

关键词: Extended version;    Necessary condition analysis (NCA);    Necessity;    Re-analysis of data;    Resilience;    Sufficiency;    Well-being;   

DOI  :  10.1186/s12888-022-03774-w

来源: Springer

【 摘 要 】

BackgroundAfter conducting necessary condition analysis (NCA), researchers have concluded that a certain, not too low, level of well-being is necessary but not sufficient for a high level of resilience. However, as acknowledged by the developers of the test, NCA only evaluates if the association between two variables is characterized by some unspecified type of non-randomness and not conditions of necessity.MethodEarlier reported data on the association between well-being and resilience among Filipino adults (N = 533) in COVID-19 quarantine were re-analyzed with an extended version of NCA.ResultsAnalyses indicated a significant necessity effect of resilience on overall well-being, which is not logically compatible with well-being being necessary but not sufficient for resilience. Analyses with an extended version of NCA suggested that the association between overall well-being and resilience was characterized by equal degrees of necessity and sufficiency.ConclusionsThe original version of NCA is only capable of evaluating if the association between two variables is characterized by some unspecified type of non-randomness. The extended version of NCA allows researchers to draw more specific conclusions.

【 授权许可】

CC BY